M. Schuermans

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dictive computer models for medical classification problems using patient data and expert knowledge), several PhD/postdoc & fellow grants; Flemish Government: FWO: PhD/postdoc grants, projects, G.0200.00 (damage detection in composites by optical fibers), G. SUMMARY This paper extends the Weighted Low Rank Approximation (WLRA) approach towards linearly(More)
In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments. Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers many algorithms for solving such an estimation problem. We will restrict our discussion to the Total Least(More)
The Maximum Likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution. For similar reasons, the Total Least Squares (TLS) method has been generalized in the field of computational mathematics and engineering(More)
An algorithm that transforms symmetric matrices into similar semiseparable ones has been proposed recently. Similarly to the Householder reduction, the latter algorithm works without taking into account the structure of the original matrix. In this paper we propose a Lanczos–like algorithm to transform a symmetric matrix into a similar semiseparable one(More)
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